I’m a fourth year Computer Science PhD student at Oregon State University. I study machine learning, focusing on applications in computational sustainability. I’m also interested in intuitive and engaging ways of learning about machine learning.
Previously, I was an undergraduate student of Computer Science and Engineering, and then a research assistant at North South University.
Google Scholar
GitHub
Professional Services
Program Committee Member
• AAAI Special Track : AI for Social Impact [2024, 2025]
• ICLR Workshop : Tackling Climate Change with Machine Learning [2023, 2024]
• NeurIPS Workshop : Tackling Climate Change with Machine Learning [2022, 2023, 2024]
Grant Reviewer
• Climate Change AI Innovation Grants [2023, 2024]
Reviewer
• NeurIPS 2023 Workshop : Computational Sustainability
• Remote Sensing of Environment
• Scientific Reports
• Ecological Indicators
• IEEE Transactions on Geoscience and Remote Sensing
• IEEE Geoscience and Remote Sensing Letters
• Remote Sensing Letters
Selected Publications
“Label noise tolerance of deep semantic segmentation networks for extracting buildings in ultra-high-resolution aerial images of semi-built environments“
N. Ahmed and R.M. Rahman
Geocarto International, 37(25), 8062-8079, 2022.
“Effects of Label Noise on Performance of Remote Sensing and Deep Learning-Based Water Body Segmentation Models“
M. Rahaman, M.M. Hillas, J. Tuba, J.F. Ruma, N. Ahmed, and R.M. Rahman
Cybernetics and Systems, 53(6), 581-606, 2022.
“Dense prediction of label noise for learning building extraction from aerial drone imagery“
N. Ahmed, R.M. Rahman, M.S.G. Adnan, and B. Ahmed
International Journal of Remote Sensing, 42(23), 8906-8929, 2021.
“Classification of deep-SAT images under label noise“
M.M. Alam, M. Gazuruddin, N. Ahmed, A. Motaleb, M. Rana, R. R. Shishir, S. Yeasmin, and R.M. Rahman
Applied Artificial Intelligence, 35(14), 1196-1218, 2021.
“Learning to extract buildings from ultra-high-resolution drone images and noisy labels“
N. Ahmed, R.B. Mahbub, and R.M. Rahman
International Journal of Remote Sensing, 41(21), 8216-8237, 2020.
“Improving spatial agreement in machine learning-based landslide susceptibility mapping“
M.S.G. Adnan, M.S. Rahman, N. Ahmed, B. Ahmed, M.F. Rabbi, and R.M. Rahman
Remote Sensing, 12(20), 3347, 2020.
“Modelling spatio-temporal changes of tropical forest cover in the north-eastern region of Bangladesh“
N. Ahmed, R.B. Mahbub, M.M. Hossain, and M. Sujauddin
Journal of Tropical Forest Science, 32(1), 42-51, 2020.
“Towards reducing the data gap in the conservation efforts for sea turtles in Bangladesh“
R.B. Mahbub, N. Ahmed, and F. Yeasmin
Regional Studies in Marine Science, 35, 101151, 2020.
“Solving visual pollution with deep learning: A new nexus in environmental management“
N. Ahmed, M. N. Islam, A. S. Tuba, M.R.C. Mahdy, and M. Sujauddin
Journal of Environmental Management, 248, 109253, 2019
“Human appropriation of net primary production in Bangladesh, 1700–2100“
R.B. Mahbub, N. Ahmed, S. Rahman, M.M. Hossain, and M. Sujauddin
Land Use Policy, 87, 104067, 2019.
“Forecasting river sediment deposition through satellite image driven unsupervised machine learning techniques“
N. Ahmed, S. Mahmud, M.M.L. Elahi, S. Ahmed, and M. Sujauddin
Remote Sensing Applications: Society and Environment, 13, 435-444, 2019.